Catalyst-coated membranes(CCMs)have gained popularity among membrane electrode assembly(MEA)fabricators for their abilities and advantages compared with those of other methods,such as catalyst-coated substrates(CCSs)....Catalyst-coated membranes(CCMs)have gained popularity among membrane electrode assembly(MEA)fabricators for their abilities and advantages compared with those of other methods,such as catalyst-coated substrates(CCSs).CCMs show a profound new analysis for reducing platinum(Pt)catalyst loading.In addition,they increase the total number of reactions that occur on the MEA because of their active area amplification,which leads to an improved catalyst-utilization efficiency rate.Moreover,several characteristics are involved in the MEA fabrication methods.Material-manufacturing effects with regard to catalyst inks and analysis of the overall performance of MEAs prepared by the CCM and CCS methods are deliberated.This deliberation emphasizes the practical approaches in minimizing performance deterioration during the fabrication of MEAs using the CCM method and converses the commercialization of the CCM fabrication method toward developing an end product.Novel research is required for MEA fabrication using the CCM methods to ensure that the fuel cell performance is improved.Therefore,this review is focusing on the pros and cons of both distinguished methods,that is,CCM and CCS fabrication,for better comparison.展开更多
Nowadays the computer vision technique has widely found applicationsin industrial manufacturing process to improve their efficiency. However, it ishardly applied in the field of daily ceramic detection due to the foll...Nowadays the computer vision technique has widely found applicationsin industrial manufacturing process to improve their efficiency. However, it ishardly applied in the field of daily ceramic detection due to the following twokey reasons: (1) Low detection accuracy as a result of ceramic glare, and (2) Lackof efficient detection algorithms. To tackle these problems, a homomorphic filtering based anti-glare ceramic decals defect detection technique is proposed in thispaper. Considering that smooth ceramic surface usually causes glare effects andleads to low detection results, in our approach, the ceramic samples are takenin low light environment and their luminance and details restored by a homomorphic filtering based image enhancement technique. With relatively high quality preprocessed images, an effective ceramic decal defect detection algorithm isthen designed to rapidly locate those out-of-bounds defects and further estimatetheir size. The experimental results show that the proposed scheme could achieveits desired performance.展开更多
基金The authors acknowledge the financial support provided by the Ministry of Higher Education,Malaysia through the research grants LRGS/2013/UKM-UKM/TP-01 and UKM GUP-2016-044.9.0.
文摘Catalyst-coated membranes(CCMs)have gained popularity among membrane electrode assembly(MEA)fabricators for their abilities and advantages compared with those of other methods,such as catalyst-coated substrates(CCSs).CCMs show a profound new analysis for reducing platinum(Pt)catalyst loading.In addition,they increase the total number of reactions that occur on the MEA because of their active area amplification,which leads to an improved catalyst-utilization efficiency rate.Moreover,several characteristics are involved in the MEA fabrication methods.Material-manufacturing effects with regard to catalyst inks and analysis of the overall performance of MEAs prepared by the CCM and CCS methods are deliberated.This deliberation emphasizes the practical approaches in minimizing performance deterioration during the fabrication of MEAs using the CCM method and converses the commercialization of the CCM fabrication method toward developing an end product.Novel research is required for MEA fabrication using the CCM methods to ensure that the fuel cell performance is improved.Therefore,this review is focusing on the pros and cons of both distinguished methods,that is,CCM and CCS fabrication,for better comparison.
基金supported by the Science and Technology Projects,Quzhou City,China(2019K12,X.Chen,www.qz.gov.cn)National Natural Science Foundation of China(61762054 and 62062044,X.Chen)。
文摘Nowadays the computer vision technique has widely found applicationsin industrial manufacturing process to improve their efficiency. However, it ishardly applied in the field of daily ceramic detection due to the following twokey reasons: (1) Low detection accuracy as a result of ceramic glare, and (2) Lackof efficient detection algorithms. To tackle these problems, a homomorphic filtering based anti-glare ceramic decals defect detection technique is proposed in thispaper. Considering that smooth ceramic surface usually causes glare effects andleads to low detection results, in our approach, the ceramic samples are takenin low light environment and their luminance and details restored by a homomorphic filtering based image enhancement technique. With relatively high quality preprocessed images, an effective ceramic decal defect detection algorithm isthen designed to rapidly locate those out-of-bounds defects and further estimatetheir size. The experimental results show that the proposed scheme could achieveits desired performance.
